Overview Of The Recommendations On The Development Of AI Systems With Respect To Data Protection

In this Insight article, Marguerite Brac de La Perrière, Partner at Fieldfisher, examines the French data protection authority's (CNIL) recommendations on artificial intelligence (AI), offering guidance for applying data protection principles in AI development.

There can be no artificial intelligence (AI) system without huge amounts of data, but the relationship between the creation of personal learning databases and the development of the system on the one hand and data protection on the other can be complex.

Concerns have been raised that regulation could stifle innovation and, more specifically, that the GDPR could inhibit AI innovation in Europe. Indeed, designers and developers of AI systems face significant challenges in applying the requirements of the GDPR, particularly when training models.